package com.wc;

import org.apache.flink.api.common.typeinfo.Types;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.util.Collector;

/**
 * @author 谢秉均
 * @date 2024/10/9--21:40
 */
public class WordCountStreamUnboundedDemo {
    public static void main(String[] args) throws Exception {
        // TODO 1、创建执行环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        // TODO 2、读取数据：socket
        DataStreamSource<String> socketDS = env.socketTextStream("10.50.188.227", 7777);

        // TODO 3、处理数据
        SingleOutputStreamOperator<Tuple2<String, Integer>> sum = socketDS.flatMap(
                (String value, Collector<Tuple2<String, Integer>> out) -> {
                    String[] words = value.split(" ");
                    for (String word : words) {
                        out.collect(Tuple2.of(word, 1));
                    }
                })
                .returns(Types.TUPLE(Types.STRING,Types.INT))
                .keyBy(value -> value.f0)
                .sum(1);


        // TODO 4、输出
        sum.print();
        // TODO 5、执行
        env.execute();
    }
}
